A new edition of the definitive guide to classical and modern
methods of biostatistics

Biostatistics consists of various quantitative techniques that
are essential to the description and evaluation of relationships
among biologic and medical phenomena. Biostatistical Methods:
The Assessment of Relative Risks, Second Edition develops basic
concepts and derives an expanded array of biostatistical methods
through the application of both classical statistical tools and
more modern likelihood-based theories. With its fluid and balanced
presentation, the book guides readers through the important
statistical methods for the assessment of absolute and relative
risks in epidemiologic studies and clinical trials with
categorical, count, and event-time data.

Presenting a broad scope of coverage and the latest research on
the topic, the author begins with categorical data analysis methods
for cross-sectional, prospective, and retrospective studies of
binary, polychotomous, and ordinal data. Subsequent chapters
present modern model-based approaches that include unconditional
and conditional logistic regression; Poisson and negative binomial
models for count data; and the analysis of event-time data
including the Cox proportional hazards model and its
generalizations. The book now includes an introduction to mixed
models with fixed and random effects as well as expanded methods
for evaluation of sample size and power. Additional new topics
featured in this Second Edition include:

Establishing equivalence and non-inferiority

Methods for the analysis of polychotomous and ordinal data,
including matched data and the Kappa agreement index

Negative binomial models for count data as an alternative to
the Poisson model

GEE models for the analysis of longitudinal repeated measures
and multivariate observations

Throughout the book, SAS is utilized to illustrate applications
to numerous real-world examples and case studies. A related website
features all the data used in examples and problem sets along with
the author's SAS routines.

Biostatistical Methods, Second Edition is an excellent
book for biostatistics courses at the graduate level. It is also an
invaluable reference for biostatisticians, applied statisticians,
and epidemiologists.

John M. Lachin, ScD, is Co-Director of The Biostatistics Center at The George Washington University, where he also serves as Professor of Biostatistics and Epidemiology, and of Statistics. He has published extensively in his areas of research interest, which include sample size evaluation, group sequential methods, analysis of repeated measures, and survival analysis. A Fellow of the American Statistical Association and the Society for Clinical Trials, Dr. Lachin is the coauthor of Randomization in Clinical Trials: Theory and Practice, also published by Wiley.

"Biostatistical methods, second edition is an excellent book for
biostatistics courses at the graduate level. It is also an
invaluable reference for biostatisticians, applied statisticians,
and epidemiologists." (Mathematical Reviews, 2011)

"The author of this book has made a tremendous effort in
covering a gamut of tests, methods, and ideas for biostatistical
problem solving . . . In conclusion, the book is recommended to all
in biostatistics as a technical reference." (Journal of
Biopharmaceutical Statistics, 1 September 2012)

"...Biostatistics is set apart from other statistics specialties
by its focus on the assessment of risks and relative risks through
clinical research," states Lachin (George Washington U.) in the
preface to the first edition (2001). He developed this graduate
text to support a course he launched as a joint initiative of the
university's department of statistics, its Biostatistics Center,
and the School of Public Health and Health Services. Coverage
includes discussion of biostatistics and biomedical science,
relative risk estimates and tests for independent groups, sample
size, stratified adjusted analysis, case-control and matched
studies, applications of maximum likelihood and efficient scores,
among other topics." (Book News Inc., February
2011)

Digital version available through Wiley Online Library

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